Needs source-date, figure, and framing review before quoting externally. Align it by checking the source date, the main figures, whether it still supports the CivicGraph / ACT operating map, and what action it should send people to next.
Data Quality Scorecard
Live metrics on completeness and cross-referencing across 0 records in 0 datasets. Updated in real-time.
Overall Completeness
Average field completeness across all datasets. Measures how many records have the key fields populated (name, description, ABN, amounts, geography).
Field Completeness by Dataset
| Dataset | Records | Name | Description | Website | ABN | Amount | Geography |
|---|
Colour key: 90%+ | 60-89% | 30-59% | <30% | — not applicable
Cross-Reference Linkage
The power of open data comes from connecting datasets. These metrics show how well we link records across sources using ABN matching and entity resolution.
Methodology
Field Completeness
Each cell shows the percentage of records with a non-null, non-empty value for that field. Cells marked “—” indicate fields that don't apply to that dataset (e.g., charities don't have “amount”).
Computed from materialized views refreshed on data updates. No sampling — every record is counted.
Cross-Reference Linkage
Entity resolution uses normalised name matching against the ASIC company register (2.1M entities) and ACNC charity register (64K entities). Names are normalised by stripping PTY/LTD/CORPORATION/trustee suffixes, case-folding, and removing punctuation.
The Australian Business Number (ABN) serves as the universal join key across all government datasets.